Study of the Permanent Magnetic Drive Speed Control System Based on Single-Output PID Neural Network

2012 ◽  
Author(s):  
Songning Shi ◽  
Dazhi Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Speed Control ◽  
Single Output ◽  
Speed Control System ◽  
Drive Speed ◽  
Pid Neural Network ◽  
Magnetic Drive

Study on the Speed Control System of Hydraulic Pump-Motor Based on PID Neural Network

2012 ◽  
Vol 542-543 ◽  
pp. 759-764
Author(s):  
Di Wu ◽  
Jin Yao ◽  
Yong Jing Huang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Dynamic Property ◽  
Speed Control ◽  
Theoretical Models ◽  
Hydraulic Pump ◽  
Transient Time ◽  
Neural Network Controller ◽  
Speed Control System ◽  
Pid Neural Network

Theoretical models of hydraulic pump-motor and electro-hydraulic servo control systems of hydraulic pumps were established and the system transfer function was derived In view of bad dynamic property, small damp, long transient time, low precision, nonlinearity and etc existing in the speed control system of Hydraulic Pump-Motor, a controller based on PID Neural Network was designed. The simulation results showed that the PID Neural Network controller has better dynamic property, load disturbance adaptability , robustness and cranking ability than traditional PID controller.

The Application of PSO-BP Neural Network PID Controller in Variable Frequency Speed Regulation System

2014 ◽  
Vol 599-601 ◽  
pp. 1090-1093 ◽  
Author(s):  
Chun Hua Li ◽  
Shao Xiong Xu ◽  
Yang Xie ◽  
Jie Zhao
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Speed Control ◽  
Regulation System ◽  
Particle Swarm Algorithm ◽  
Variable Frequency ◽  
Speed Control System ◽  
Neural Network Pid

Variable frequency speed control system hold good stability,more efficient,more energy conservation etc, so it has been widely used in the industrial areas,but the control strategy of traditional was difficult to achieve the desired control effect.This paper adopt particle swarm algorithm and BP neural network to construct the PID controller of PSO-BP neural network , the M-Files of PSO-BP neural network PID based on MATLAB through S-Function, and the mode of PSO-BP neural network PID variable frequency speed control system was established in SIMULINK platform.Simulation results show that the controller hold well robustness, follow and stability,and the dynamic characteristics of the original system was improved, the application value of this method in the variable frequency speed control system was proved.

H∞ control system for a four-high stand rolling mill

2000 ◽  
Vol 214 (2) ◽  
pp. 79-86
Author(s):  
G G Lisini ◽  
P Toni ◽  
M C Valigi
Keyword(s):  
Control System ◽  
Rolling Mill ◽  
Multiple Input Multiple Output ◽  
Speed Control ◽  
Work Roll ◽  
Quality Level ◽  
Single Input Single Output ◽  
Revolution Speed ◽  
Single Output ◽  
Speed Control System

In steelworks the demand for a higher product quality level has improved the rolling mill process by means of a proper work roll speed control system. Firstly this paper proposes a lumped-parameter hot-rolling mill model. The rolling mill examined is reversible and equipped with an independent speed control system for each work roll (two single-input single-output systems). Therefore, the same revolution speed, essential for a high-quality process, can only be ensured by equal set point values. Nevertheless, during the process, different disturbance load torques cause speed differences and, even if they are not noticeable, rolled section defects cannot be avoided. The second part of the paper shows that it is possible to design a proper H∞ controller, to change the two independent control systems into a more complex multiple-input multiple-output system that will obtain decidedly better performances. Simulation examples have shown improvements.

Decoupling Control of Secondary Regulation Loading System

2012 ◽  
Vol 619 ◽  
pp. 443-446
Author(s):  
Wang Jie ◽  
Wang Hui ◽  
Shi Meng
Keyword(s):  
Control System ◽  
Pressure Fluctuations ◽  
Speed Control ◽  
Negative Influence ◽  
Torque Control ◽  
Mechanical Coupling ◽  
Speed Control System ◽  
Loading System ◽  
Speed Fluctuation ◽  
Drive Speed

The simulation loading system with secondary regulation contains hydraulic coupling and mechanical coupling. This study analyzed the influence on the performance of the system caused by coupling disturbances. Control performance under coupling disturbances with PID control was simulated by MATLAB. With the increasing of the pressure fluctuations, fluctuations of torque control and speed control system all changed. The influence of torque control system is greater than speed control system. When the torque fluctuated, the drive speed appeared large fluctuation error and the error was direct ratio to the torque fluctuation. But the torque system is immune to the speed fluctuation. In order to eliminate the influences, a decoupling controller has been designed. Control performances under the disturbance of hydraulic and mechanical coupling with decoupling controller and without decoupling controller were simulated. The results showed that, when added decoupling components, the system was decoupled, the negative influence of the coupling interferences to the system was reduced or eliminated, the control property was improved.

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